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What’s the minimum viable infrastructure your enterprise needs for AI?
- Enterprises of all sizes are increasingly looking to adopt generative AI to increase efficiency and reduce time spent on repetitive tasks.
- Understanding the essential components of an AI solution is crucial.
- The foundation of any effective gen AI system is data.
- Businesses can use off-the-shelf chatbots powered by large language models (LLMs) like Google’s Gemini or OpenAI’s ChatGPT without inputting any company data, but feeding these with your company’s data would provide better benefits.
- Once you have identified the data, the next step is selecting an appropriate LLM to power AI system.
- An open-source LLM is the way to go if you prefer hosting a model on your own private infrastructure for enhanced control and data security.
- Using a retrieval augmented generation (RAG) framework is essential to create relevant answers for a chatbot or AI system.
- The RAG framework is particularly useful for enterprises that need to integrate proprietary company data stored in various formats.
- Technical expertise is still required for the implementation of AI, and development costs for a basic chatbot range from $15,000 to $30,000.
- The AI system will need regular maintenance, and maintenance costs can start at $5,000 per month.
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